The challenges of machine learning The quality and quantity of data How effective an ML model is depends heavily on the quality and quantity of the data available.

MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators utilizes a large amount of market data to train a model to predict the future movement of ...

Machine learning in execution isn’t speculative—it’s operational. The cost of continuing with quarterly reviews and static allocations is no longer just opportunity loss—it’s strategic risk. AI isn’t ...

We came across a bullish thesis on Duolingo, Inc. on Stock Analysis Compilation’s Substack. In this article, we will ...

Numerai, the decentralized hedge fund powered by crowdsourced machine learning, today announced plans to buy back $1 million ...

On April 18, 2025, the Federal Circuit published an opinion in Recentive Analytics, Inc. v. Fox Corp. holding that patents claiming the application of existing machine learning models “to new ...

Bloomberg recently introduced Intraday BVAL (IBVAL) Front Office, a pricing service featuring a machine learning-based system capable of delivering pricing for fixed income securities every 15 ...